Partnership between AISB and AI Europe 2016: Next December 5th and 6th in London, AI Europe will bring together the European AI eco-system by gathering new tools and future technologies appearing in professional fields for th...

In the run up to AISB2017 convention (http://aisb2017.cs.bath.ac.uk/index.html), I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it.
Mohammad Majid...

Harold Cohen, tireless computer art pioneer dies at 87
Harold Cohen at the Tate (1983) Aaron image in background
Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership.
How to Acce...

Notice

AISB event Bulletin Item

KInAR - Knowledge Intensive Automated Reasoning
Workshop at IJCAR 2014
Venue: IJCAR 2014, hosted by the Vienna Summer of Logic, Vienna, Austria
Date: 17 July 2014
Submission Deadline: 28 April 2014
Details see http://userpages.uni-koblenz.de/~bpelzer/kinar2014/
Workshop Overview
Automated reasoning (AR) systems have been advancing in their
capabilities, allowing them to operate on increasingly larger and more
complex theories. At the same time extensive digital sources of knowledge
are becoming available, ranging from formal ontologies over databases and
dictionaries to natural language references. Online sources like
Wikipedia, mathematical libraries like Mizar, IMDb and various search
engines and web services have gained widespread acceptance among the
general population, but the sheer quantity of data can be an obstacle for
human users. To make such knowledge more accessible there is a growing
interest to employ the deductive power of AR systems. Not only does this
provide challenges to researchers in the field of automated deduction, but
it is also a chance to bring the results into the public, and to see a
large-scale practical usage of AR.